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significant clusters » significant cause (Expand Search), significant changes (Expand Search), significant factors (Expand Search)
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Showing 41 - 60 results of 18,743 for search '(( significant clusters based ) OR ( significant ((fold decrease) OR (nn decrease)) ))', query time: 0.43s Refine Results
  1. 41
    Results of clustering based on elbow method.

    Results of clustering based on elbow method. by Milan Džogan (20528998)

    Published 2025
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  2. 42
    OS correlation of differentially expressed miRNAs (> 2-fold increase or decrease in HCC vs normal livers), according to KMP; miRNAs in bold are significantly correlated with OS.

    OS correlation of differentially expressed miRNAs (> 2-fold increase or decrease in HCC vs normal livers), according to KMP; miRNAs in bold are significantly correlated with OS. by Kayleigh Smith (17816667)

    Published 2024
    “…<p>OS correlation of differentially expressed miRNAs (> 2-fold increase or decrease in HCC vs normal livers), according to KMP; miRNAs in bold are significantly correlated with OS.…”
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  3. 43
    Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and heart rate (HR) across the three conditions.

    Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

    Published 2025
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  4. 44
    Percentage of homology at metabolite composition level based on the number of different significant chemical features within each cluster and between the most distant clusters.

    Percentage of homology at metabolite composition level based on the number of different significant chemical features within each cluster and between the most distant clusters. by Laura Perez-Fons (8056685)

    Published 2020
    “…<p>Percentage of homology at metabolite composition level based on the number of different significant chemical features within each cluster and between the most distant clusters.…”
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  5. 45
    Summary of significant clusters composition from the seed-based connectivity analysis of the brainstem (covering ≥ 10% of the regions).

    Summary of significant clusters composition from the seed-based connectivity analysis of the brainstem (covering ≥ 10% of the regions). by Sadeq Mohammadi (22622219)

    Published 2025
    “…<p>Summary of significant clusters composition from the seed-based connectivity analysis of the brainstem (covering ≥ 10% of the regions).…”
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  6. 46
    Significant spatial clusters of newborn care in Ethiopia, EDHS 2016.

    Significant spatial clusters of newborn care in Ethiopia, EDHS 2016. by Melaku Hunie Asratie (9312013)

    Published 2023
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  7. 47
    Distribution distances between Cluster 1 and Cluster 2 based on Kullback-Leibler divergence.

    Distribution distances between Cluster 1 and Cluster 2 based on Kullback-Leibler divergence. by Duy Nguyen (1831585)

    Published 2025
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  8. 48
    Identification of specific cluster DEGs based on two disulfidptosis-related molecular clusters.

    Identification of specific cluster DEGs based on two disulfidptosis-related molecular clusters. by Jie Yuan (208425)

    Published 2025
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  9. 49
    Detection of three clusters of the patients based on the height (cluster distances) in dendrogram.

    Detection of three clusters of the patients based on the height (cluster distances) in dendrogram. by Mehrdad Davoudi (9704675)

    Published 2025
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  10. 50
    Clusters of significant Gene Ontology terms for pudendal block treatment.

    Clusters of significant Gene Ontology terms for pudendal block treatment. by Charles J. Tran (11482404)

    Published 2024
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  11. 51
    Clusters of significant Gene Ontology terms for laughing gas treatment.

    Clusters of significant Gene Ontology terms for laughing gas treatment. by Charles J. Tran (11482404)

    Published 2024
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  12. 52
    Cluster analysis based on taxonomic dissimilarity and Ward’s clustering method.

    Cluster analysis based on taxonomic dissimilarity and Ward’s clustering method. by Benjamín Quiroz-Martínez (276876)

    Published 2024
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  13. 53
    SLE sample clustering based on GRGs and differential analysis between clusters.

    SLE sample clustering based on GRGs and differential analysis between clusters. by Yinghao Ren (17915291)

    Published 2025
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  14. 54
    Description of fold change of MiR-125b and Lnc THRIL among study groups.

    Description of fold change of MiR-125b and Lnc THRIL among study groups. by Azza Elamir (13924199)

    Published 2022
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  15. 55
    Significant clusters for gray matter volume loss per timepoint comparison.

    Significant clusters for gray matter volume loss per timepoint comparison. by Jesse D. de Groot (15401476)

    Published 2023
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  16. 56
    Analysis of significant differences in ARG abundance for the geographical clusters in figure 3S.

    Analysis of significant differences in ARG abundance for the geographical clusters in figure 3S. by Markus H. K. Johansson (17241650)

    Published 2023
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  17. 57
    Analysis of significant differences in MGE abundance for the geographical clusters in figure 2S.

    Analysis of significant differences in MGE abundance for the geographical clusters in figure 2S. by Markus H. K. Johansson (17241650)

    Published 2023
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  18. 58
    Significant clusters for white matter volume loss per timepoint comparison.

    Significant clusters for white matter volume loss per timepoint comparison. by Jesse D. de Groot (15401476)

    Published 2023
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  19. 59
    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP 5), based on NFHS-5.

    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP 5), based on NFHS-5. by Bindhy Wasini Pandey (18794176)

    Published 2024
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  20. 60
    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP5), based on NFHS-5.

    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP5), based on NFHS-5. by Bindhy Wasini Pandey (18794176)

    Published 2024
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